Unite.AI

MARCH 11, 2024

As we navigate the recent artificial intelligence (AI) developments, a subtle but significant transition is underway, moving from the reliance on standalone AI models like large language models (LLMs) to the more nuanced and collaborative compound AI systems like AlphaGeometry and Retrieval Augmented Generation (RAG) system.

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AI News

NOVEMBER 28, 2024

Reportedly led by a dozen AI researchers, scientists, and investors, the new training techniques, which underpin OpenAI’s recent ‘o1’ model (formerly Q* and Strawberry), have the potential to transform the landscape of AI development. Only then can AI models consistently improve.

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Unite.AI

NOVEMBER 17, 2024

As developers and researchers push the boundaries of LLM performance, questions about efficiency loom large. Until recently, the focus has been on increasing the size of models and the volume of training data, with little attention given to numerical precision—the number of bits used to represent numbers during computations.

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Unite.AI

DECEMBER 29, 2023

This case, unfolding in a Manhattan federal court, represents a crucial moment in understanding the legal frameworks surrounding the training and application of large language models (LLMs) like ChatGPT. This lawsuit spotlights the intricate balance between fostering AI innovation and protecting copyright.

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Unite.AI

MAY 21, 2024

Amidst Artificial Intelligence (AI) developments, the domain of software development is undergoing a significant transformation. Traditionally, developers have relied on platforms like Stack Overflow to find solutions to coding challenges. The emergence of AI “ hallucinations ” is particularly troubling.

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AI News

FEBRUARY 22, 2024

Marc Andreessen, the co-founder of Netscape and a16z, recently created an “outrageously safe” parody AI model called Goody-2 LLM that refuses to answer questions deemed problematic.

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NVIDIA

APRIL 9, 2024

Teams from the companies worked closely together to accelerate the performance of Gemma — built from the same research and technology used to create Google DeepMind’s most capable model yet, Gemini — with NVIDIA TensorRT-LLM , an open-source library for optimizing large language model inference, when running on NVIDIA GPUs.

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Unite.AI

JULY 19, 2024

To deal with this issue, various tools have been developed to detect and correct LLM inaccuracies. While each tool has its strengths and weaknesses, they all play a crucial role in ensuring the reliability and trustworthiness of AI as it continues to evolve 1. This helps developers to understand and fix the root cause.

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Unite.AI

NOVEMBER 13, 2023

As we delve deeper into the specifics of the H200, its technical prowess, and the implications for the AI sector and broader tech community, it's clear that Nvidia is not just responding to the current demands but also shaping the future of AI development. The importance of such a development cannot be understated.

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NVIDIA

NOVEMBER 15, 2023

New optimizations, models and resources announced at Microsoft Ignite will help developers deliver new end-user experiences, quicker. TensorRT-LLM for Windows will soon be compatible with OpenAI’s popular Chat API through a new wrapper. The next TensorRT-LLM release, v0.6.0

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NVIDIA

MARCH 18, 2024

Generative AI for Automotive in Full Force at GTC Several NVIDIA partners at GTC are also showcasing their latest generative AI developments using NVIDIA’s edge-to-cloud technology: Cerence’s CaLLM is an automotive-specific LLM that serves as the foundation for the company’s next-gen in-car computing platform, running on NVIDIA DRIVE.

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Unite.AI

OCTOBER 20, 2023

AI models in production. Today, seven in 10 companies are experimenting with generative AI, meaning that the number of AI models in production will skyrocket over the coming years. As a result, industry discussions around responsible AI have taken on greater urgency. In 2022, companies had an average of 3.8

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Marktechpost

MARCH 1, 2024

Here, radioactivity refers to the detectable residues left in a model that has been refined using information produced by an additional LLM. Conventional techniques, such as membership inference attacks (MIAs), have the ability to reliably identify if a given input was included in the model’s training dataset.

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NVIDIA

MAY 1, 2024

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and which showcases new hardware, software, tools and accelerations for RTX PC users. The latest version adds support for additional LLMs, including Gemma, the latest open, local LLM trained by Google.

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Unite.AI

SEPTEMBER 18, 2024

Responsible Development: The company remains committed to advancing safety and neutrality in AI development. Claude 3 represents a significant advancement in LLM technology, offering improved performance across various tasks, enhanced multilingual capabilities, and sophisticated visual interpretation. Visit Claude 3 → 2.

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AssemblyAI

AUGUST 5, 2024

  At AssemblyAI, we believe that AI systems are only as good as the benchmarks and evaluations they are measured against. Objective evaluations and benchmarks validate systems' performances, so users know the AI models they’re using will solve real-world challenges with real-world applications. 

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Marktechpost

AUGUST 9, 2024

This new tool is designed to enhance the development and deployment of AI models by providing real-time feedback and performance metrics. The introduction of LiveBench AI aims to bridge the gap between AI model development and practical, real-world application. Image Source In conclusion, Abacus.AI

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IBM Journey to AI blog

JANUARY 9, 2024

Companies still often accept the risk of using internal data when exploring large language models (LLMs) because this contextual data is what enables LLMs to change from general-purpose to domain-specific knowledge. In the generative AI or traditional AI development cycle, data ingestion serves as the entry point.

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Marktechpost

OCTOBER 5, 2024

Such a feat involves designing models to manage high-level cognitive tasks while integrating sensory and textual information. Despite progress in individual modalities, existing AI models need help integrating vision and speech abilities into a unified framework. If you like our work, you will love our newsletter.

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Marktechpost

JANUARY 16, 2024

As these models gain more autonomy and are increasingly merged into various aspects of daily life, the concern for their ethical and safe interaction with users intensifies. The challenge lies in ensuring these AI models provide accurate, fair, and unbiased information while safeguarding privacy and adhering to ethical standards.

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Marktechpost

NOVEMBER 26, 2023

Inflection AI developed a Large Language Model with the best right up there. The company states that its model, Inflection-2 , is the second most capable in the world, just behind OpenAI’s latest creation. By doing so, they can significantly impact their models, even on a smaller scale.

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Marktechpost

MAY 29, 2024

With significant advancements through its Gemini, PaLM, and Bard models, Google has been at the forefront of AI development. Each model has distinct capabilities and applications, reflecting Google’s research in the LLM world to push the boundaries of AI technology.

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IBM Journey to AI blog

SEPTEMBER 28, 2023

Building transparency into IBM-developed AI models To date, many available AI models lack information about data provenance, testing and safety or performance parameters. The latest open-source LLM model we added this month includes Meta’s 70 billion parameter model Llama 2-chat inside the watsonx.ai

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Marktechpost

AUGUST 2, 2024

Hackers finding a way to mislead their AI into disclosing critical corporate or consumer data is the possible nightmare that looms over Fortune 500 company leaders as they create chatbots and other generative AI applications. Responsible and secure AI development and deployment is a top priority for the organization.

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Unite.AI

SEPTEMBER 13, 2023

Increasingly though, large datasets and the muddled pathways by which AI models generate their outputs are obscuring the explainability that hospitals and healthcare providers require to trace and prevent potential inaccuracies. In this context, explainability refers to the ability to understand any given LLM’s logic pathways.

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Unite.AI

AUGUST 27, 2024

With performance metrics that dwarf those of traditional GPU-based systems, Cerebras Inference delivers 20 times the speed at a fraction of the cost, setting a new benchmark in AI computing. 8B model and 450 tokens per second for the Llama 3.1 8B and 70B AI models. 8B, and above 446 output tokens per second on Llama 3.1

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Unite.AI

SEPTEMBER 10, 2024

Encord's vision is to be the foundational platform that enterprises rely on to transform their data into functional AI models. We are the layer between a company’s data and their AI. Index is not limited to a single form of data like many LLM tools today. It is thus moving at a much faster pace.

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AWS Machine Learning Blog

DECEMBER 4, 2024

Organizations are looking to accelerate the process of building new AI solutions. They use fully managed services such as Amazon SageMaker AI to build, train and deploy generative AI models. Oftentimes, they also want to integrate their choice of purpose-built AI development tools to build their models on SageMaker AI.

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Unite.AI

AUGUST 14, 2024

Anand Kannappan is Co-Founder and CEO of Patronus AI , the industry-first automated AI evaluation and security platform to help enterprises catch LLM mistakes at scale. Our mission is to enhance enterprise confidence in generative AI. What challenges in the financial sector prompted the development of FinanceBench?

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Unite.AI

SEPTEMBER 24, 2024

However, scaling AI across an organization takes work. It involves complex tasks like integrating AI models into existing systems, ensuring scalability and performance, preserving data security and privacy, and managing the entire lifecycle of AI models.

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Unite.AI

OCTOBER 27, 2024

As artificial intelligence continues to reshape the tech landscape, JavaScript acts as a powerful platform for AI development, offering developers the unique ability to build and deploy AI systems directly in web browsers and Node.js has revolutionized the way developers interact with LLMs in JavaScript environments.

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Towards AI

SEPTEMBER 9, 2024

But acquiring the right data, especially in a way that is scalable and ethically sound, remains a significant challenge for many AI developers and businesses. Enter web data — an untapped goldmine for companies looking to fuel their AI systems with real-time, relevant, and diverse information.

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Flipboard

NOVEMBER 26, 2024

All the tools utilize AI models for generating code, and these operations cost money to execute! Even so, several tools are free – with a limit on usage; but even paid-for prices feel very reasonable for professional developer tools. ’ Which LLM does Cascade use? ‘We use a set of many models.

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Marktechpost

OCTOBER 5, 2024

Google has launched the “ gemma-2-2b-jpn-it ” model, a new addition to its Gemma family of language models. The model is designed to cater specifically to the Japanese language and showcases the company’s continued investment in advancing large language model (LLM) capabilities. Let’s collaborate!

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NVIDIA

MARCH 13, 2024

Chatbots like ChatGPT were among the first to bring LLMs to a consumer audience, with a familiar interface built to converse with and respond to natural-language prompts. LLMs have since been used to help developers write code and scientists to drive drug discovery and vaccine development.

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Allen AI

FEBRUARY 1, 2024

As the world races to deploy AI models that are effective and safe, the demand for Open Large Language Models (LLMs) has exploded. The massive adoption of both open and closed AI models means that AI capabilities have leapfrogged our ability to understand how they are created.

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NVIDIA

DECEMBER 17, 2024

NVIDIA is taking the wraps off a new compact generative AI supercomputer, offering increased performance at a lower price with a software upgrade. leap in generative AI inference performance, a 70% increase in performance to 67 INT8 TOPS, and a 50% increase in memory bandwidth to 102GB/s compared with its predecessor.

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